Schema Evolution publication categorizer

Schema matching is a problem of finding correspondences,
particularly equivalence relationships across
schemas. The problem has a particular significance in integrating
web repositories, as distributed databases over
the web becomes increasingly popular. Most of the existing
prototypes use schema level lexical information for schema
matching. However, most of them perform rather poorly on
real-world problems due to the abundance of abbreviations
in real-world schemas. For example, none of the lexical
matchers we tested would recommend a mapping of ’cnum’
to ’cid’, while ’customer number’ and ’customer ID’ are
matching entities. In this work we propose a method for
abbreviation expansion in schemas that facilitates lexical
schema matching.